Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Model-based decision support for value and sustainability assessment: Applying machine learning in aerospace product development
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0001-5114-4811
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.ORCID iD: 0000-0002-3311-2530
Blekinge Institute of Technology, Faculty of Engineering, Department of Strategic Sustainable Development.ORCID iD: 0000-0002-7382-1825
GKN Aerospace Systems , SWE.
2018 (English)In: DS92: Proceedings of the DESIGN 2018 15th International Design Conference / [ed] Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N, The Design Society, 2018, Vol. 6, p. 2585-2596Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a prescriptive approach toward the integration of value and sustainability models in an automated decision support environment enabled by machine learning (ML). The approach allows the concurrent multidimensional analysis of design cases complementing mechanical simulation results with value and sustainability assessment. ML allows to deal with both qualitative and quantitative data and to create surrogate models for quicker design space exploration. The approach has been developed and preliminary implemented in collaboration with a major aerospace sub-system manufacturer.

Place, publisher, year, edition, pages
The Design Society, 2018. Vol. 6, p. 2585-2596
Keywords [en]
decision making, value driven design, big data analysis, sustainable design, design space exploration
National Category
Engineering and Technology Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-16232DOI: 10.21278/idc.2018.0437ISBN: 9789537738594 OAI: oai:DiVA.org:bth-16232DiVA, id: diva2:1210597
Conference
15th International Design Conference, Dubrovnik
Projects
Model Driven Development and Decision Support
Funder
Knowledge FoundationAvailable from: 2018-05-29 Created: 2018-05-29 Last updated: 2018-10-31Bibliographically approved

Open Access in DiVA

fulltext(2489 kB)30 downloads
File information
File name FULLTEXT01.pdfFile size 2489 kBChecksum SHA-512
3865931bcfa80d691f4135a43ab176c528500baf47390b9fe4973d034827750cde172eb5d1381723bc34c692291744752727c0351139b3164cb72702450f2667
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Bertoni, AlessandroDasari, Siva KrishnaHallstedt, Sophie

Search in DiVA

By author/editor
Bertoni, AlessandroDasari, Siva KrishnaHallstedt, Sophie
By organisation
Department of Mechanical EngineeringDepartment of Computer Science and EngineeringDepartment of Strategic Sustainable Development
Engineering and TechnologyMechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 30 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 277 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf